Image Edge Extraction by Artificial Intelligence Schemes for UAV Autonomous Navigation
Wanessa da Silva, Nandamudi Lankalapalli Vijaykumar, Sandra Aparecida Sandri, Haroldo Fraga de Campos Velho, Zoran Sjanic, Elcio Hideiti Shiguemori, Osamu Saotome · Proceeding Series of the Brazilian Society of Computational and Applied Mathematics · 2020
We present here the application of an image processing strategy for autonomous navigation in order to estimate the position of an Unmanned Aerial Vehicle (UAV) equipped with Synthetic Aperture Radar (SAR) sensors. Patches of the SAR images are compared to georeferenced satellite optical images, by first applying an image edge detection algorithm on all the images, and the UAV position is determined from the correlation matrix obtained from resulting segmented images. The performance of three edge detectors are compared: the Canny approach, an artificial neural network (radial base function), and a fuzzy system.